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논문검색

Optimizing an Intrusion Tolerant Database System Using Neural Network

초록

영어

Traditional database security mechanisms focus on either protection or prevention. However, these mechanisms have not any strategy in the presence of successful attacks. To solve this problem, the Intrusion Tolerant Database System (ITDB) was introduced. ITDB uses the new generation of database security mechanisms to guarantee specified levels of data availability, integrity and confidentiality in the presence of successful attacks. These mechanisms include Attack Isolation and Multiphase Damage Confinement. In this paper, we will present a practical model to utilize the combination of intrusion tolerance techniques for managing the ITDB architecture. Using this practical model, we will be able to secure the system’s required integrity and availability levels considering the changes in the environment. We will also introduce an intelligent method for determining the significance degrees of data objects in the optimized attack isolation technique.

목차

Abstract
 1. Introduction
  1.1. Multiphase Damage Confinement
  1.2.Attack Isolation
 2. Optimized ITDB Architecture
  2.1. Isolation Time
  2.2. Significance of Data Object
  2.3. Waiting Queue
 3. Managing the ITDB Architecture
  3.1. Evaluation of Environment Parameters
  3.2. Adaptive Controller
 4. Conclusion
 References

저자정보

  • Zeinab Falahiazar Department of computer engineering, Islamic Azad University South Tehran Branch, Tehran, Iran
  • Mohsen Rohani Department of computer engineering, Islamic Azad University South Tehran Branch, Tehran, Iran
  • Leila Falahiazar Department of computer engineering, Islamic Azad University Science and Research Branch, Tehran, Iran
  • Mohammad Teshnelab Department of computer engineering, Islamic Azad University Science and Research Branch, Tehran, Iran

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